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Universal Dependencies and Quantitative Typological Trends. A Case Study on Word Order

Conference Paper
Publication Date:
2018
abstract:
The paper presents a new methodology aimed at acquiring typological evidence from "gold" treebanks for different languages. In particular, it investigates whether and to what extent algorithms developed for assessing the plausibility of automatically produced syntactic annotations could contribute to shed light on key issues of the linguistic typological literature. It reports the first and promising results of a case study focusing on word order patterns carried out on three different languages (English, Italian and Spanish).
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Linguistic Knowledge Extraction; Dependency Treebanks; Linguistic Typology
List of contributors:
Venturi, Giulia; Montemagni, Simonetta; Dell'Orletta, Felice
Authors of the University:
DELL'ORLETTA FELICE
MONTEMAGNI SIMONETTA
VENTURI GIULIA
Handle:
https://iris.cnr.it/handle/20.500.14243/374901
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URL

http://www.lrec-conf.org/proceedings/lrec2018/pdf/1109.pdf
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